摘要
分析了小型直升机的模型结构并讨论了对其进行辨识建模的必要性,设计了小型直升机的地面飞行实验台架用于辨识信号的采集,用7点二阶前推插值算法对野值进行识别和剔除,用拉格朗日插值算法对剔除后的野值进行补正,用一个低通滤波器对试验数据作低通滤波,滤除高频噪声信号,随后祛除掉趋势项和中位值.预处理后所得数据可用来辨识小型直升机系统的模型.
The high complexity and instability of the small-scale helicopter＇s model are analyzed,so the system identification for the model helicopter is necessary.The ground stand is designed and made for collecting the data and validating control methods.The 7 points second-order derivation forward insert data algorithm is used to recognize and eliminate the outliers,and the Lagrange insert data algorithm is used to remedy the data.A low-pass filter is used to trail off the high-band noise.Subsequently,the mean and trend are peeled off.The resulting data is used to identify the model of small-scale helicopter.
出处
《兰州交通大学学报》
CAS
2010年第4期40-43,48,共5页
Journal of Lanzhou Jiaotong University
基金
国家自然科学基金(60475039)
关键词
小型直升机
系统辨识
预处理
滤波
small-scale helicopter
system identification
pretreatment
filtering
